Machine Learning Engineer

Durban FULL TIME R41,667 - R58,333 / Month
(R500,000 - R700,000 / Year)

Job Description

We are looking for a Machine Learning Engineer with a knack for tackling challenges through data science. You will collaborate with cross-functional teams to turn complex datasets into actionable insights and innovative models that drive business value. If you have a strong analytical mindset, we'd love to hear from you.

Responsibilities

  • Develop prototypes and proof-of-concept solutions for new machine learning applications.
  • Analyze large datasets to extract meaningful insights and drive model development.
  • Deploy machine learning models in production and monitor their performance.
  • Participate in code reviews and contribute to team best practices.
  • Stay up-to-date with the latest trends in machine learning and AI technologies.
  • Mentor junior team members in best practices and methodologies.
  • Assist in crafting technical presentations for stakeholders.

Requirements

Education
  • Bachelor's degree in Computer Science, Data Science, or related field
  • Master's degree is a plus
Experience
  • 3+ years of experience in machine learning or data science
Technical Skills
  • Python
  • TensorFlow
  • Scikit-learn
  • SQL
  • Data Visualization Tools
Soft Skills
  • Analytical Thinking
  • Team Collaboration
  • Communication
Certifications
  • Machine Learning Specialist Certification
  • Certified Data Scientist
Languages
  • English: Fluent

Advantageous

  • Experience with cloud platforms: Familiarity with AWS or Google Cloud for deploying machine learning models.
  • Experience with Docker: Knowledge of containerization techniques for scalable applications.

Benefits

  • Health and wellness benefits
  • Retirement plan with company matching
  • Flexible working hours and work-from-home options
  • Employee development programs

Company Culture

  • Innovation: We encourage innovative thinking and creative problem-solving.
  • Collaboration: Teamwork is at the heart of our culture, where every voice is valued.
  • Diversity and Inclusion: We are dedicated to creating a diverse workforce where everyone feels included.
Status: Closed